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Decoding high energy physics with AI and machine learning - MSNHigh energy physics experiments seek to reveal signs of unknown particles or interactions beyond the Standard Model (BSM). However, persistent uncertainties in theoretical predictions, ...
While the search for Axions in high-energy physics is actively on-going, it has been recently proposed that Axions can be realized as quasi-particles in solid state materials. The prime candidate as ...
Computer simulations of high-energy particles are pushing the boundaries of what we can learn about the interactions that happen inside particle colliders ...
For the first time, high-energy physics is closing its doors to certain nations. This is a worrisome turn of events. Russian physicists – and their Soviet counterparts before them – had been involved ...
Nearly a decade ago, a detector searching for ghostly cosmic particles found two anomalous signals in Antarctic ice. But scientists haven’t been able to find anything similar.
High energy density (HED) physics has critical applications in areas such as inertial confinement fusion and the stewardship of the nation’s nuclear weapons stockpile. Congress has requested that the ...
Designed for advanced research in high-speed electronics, semiconductors, and physics, the oscilloscopes deliver ultra-fast ...
The High Energy Photon Source (HEPS), China’s flagship synchrotron radiation facility, has officially begun its joint-commissioning phase after successfully completing photon beam commissioning ...
The study, published in the Journal of High Energy Physics in November, proposes that the enigmatic behavior of neutrinos could be explained if, in addition to the familiar three dimensions of ...
Unraveling AI's decision-making in theoretical models. In another study, published in the Journal of High Energy Physics, Hobbs and Kriesten unveiled another framework called "XAI4PDF."This ...
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